Machine Learning Engineer

• Design, build, and deploy complex, scalable AI solutions, including multi-step agentic workflows and multi-agent systems.
• Develop and orchestrate AI agents capable of complex reasoning, planning, and dynamic tool use to solve business problems.
• Own the end-to-end development lifecycle of AI models and applications – from implementation, rigorous testing, deployment, and operational monitoring – ensuring timely and successful completion.
• Write clean, maintainable, and production-ready code for AI/ML model training, evaluation, and serving.
• Collaborate closely with product managers, data scientists, client teams, vendors, and other partners to define requirements, adapt plans, and ensure successful outcomes.
• Act as a hands-on technical expert, guiding design decisions and ensuring adherence to best practices in AI development, LLMOps, testing, and deployment.
• Design, implement, and manage robust evaluation strategies and frameworks specifically for Large Language Models (LLMs) and the agentic systems built upon them, assessing model quality, task completion reliability, safety, and effectiveness.
• Identify and mitigate technical risks and roadblocks impeding project delivery.
• Represent the technical aspects of your initiatives with senior leaders and partners.
• Contribute hands-on to development and troubleshooting, especially on challenging technical problems, to ensure project momentum.
• Lead research and development efforts into emerging tools and technologies, with a particular focus on advances in AI, and drive their adoption where appropriate.
• May manage direct reports and/or lead junior team members, which include professional staff specializing in different technical disciplines and may also manage the work of further professional staff in a matrixed organization.

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